Personal Research on Deep Neural Network Optimization
Sept. 2021 - OngoingCreation of novel optimization algorithms for optimizing deep neural networks.
Creation of novel optimization algorithms for optimizing deep neural networks.
Research project about designing an efficient RL algorithm for Markov decision processes of variable order.
Designing a deep learning model based on the transformer architecture to read the image of a mathematical expression and convert it to LateX.
A Kaggle challenge about predicting the function of proteins from their sequences and 3D structure.
A 6-month team contest about controlling drones to rescue people in a collapsed building, where we won the 1st prize!
Creation of novel optimization algorithms for solving nonlinear least squares problems.
Design of an algorithm for noise extraction inspired by Robust Principal Component Analysis, during a short research internship at INRIA.